End of training

README.md

@@ -1,18 +1,18 @@
 ---
 license: apache-2.0
+base_model: facebook/wav2vec2-large-xlsr-53
 tags:
 - generated_from_trainer
 datasets:
 - xtreme_s
 metrics:
 - wer
-base_model: facebook/wav2vec2-large-xlsr-53
 model-index:
 - name: wav2vec2-XLS-R-Fleurs-demo-google-colab-Ezra_William_Prod6
   results:
   - task:
-      type: automatic-speech-recognition
       name: Automatic Speech Recognition
+      type: automatic-speech-recognition
     dataset:
       name: xtreme_s
       type: xtreme_s
@@ -20,9 +20,9 @@ model-index:
       split: test
       args: fleurs.id_id
     metrics:
-    - type: wer
-      value: 0.50321808112558
-      name: Wer
+    - name: Wer
+      type: wer
+      value: 0.4653494985780572
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the xtreme_s dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8186
-- Wer: 0.5032
+- Loss: 0.9273
+- Wer: 0.4653
 
 ## Model description
 
@@ -61,16 +61,19 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 600
-- num_epochs: 60
+- num_epochs: 120
 - mixed_precision_training: Native AMP
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer    |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 4.9714        | 18.18 | 300  | 2.8507          | 1.0    |
-| 1.2966        | 36.36 | 600  | 0.8132          | 0.6056 |
-| 0.1563        | 54.55 | 900  | 0.8186          | 0.5032 |
+| Training Loss | Epoch  | Step | Validation Loss | Wer    |
+|:-------------:|:------:|:----:|:---------------:|:------:|
+| 4.8946        | 18.18  | 300  | 2.8697          | 1.0    |
+| 1.0963        | 36.36  | 600  | 0.8022          | 0.5904 |
+| 0.1715        | 54.55  | 900  | 0.9387          | 0.5567 |
+| 0.0953        | 72.73  | 1200 | 0.9120          | 0.5082 |
+| 0.0651        | 90.91  | 1500 | 0.9362          | 0.4854 |
+| 0.044         | 109.09 | 1800 | 0.9273          | 0.4653 |
 
 
 ### Framework versions

model.safetensors

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 size 1262073980

runs/Feb04_06-14-45_0a0de8aca30e/events.out.tfevents.1707027314.0a0de8aca30e.1168.0

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+size 9350